- Tucker Balch: Dr. Balch is a Research Director at JPMorgan AI Research and a professor of Interactive Computing at Georgia Tech. He is interested in problems concerning multi-agent social behavior in domains ranging from financial markets to tracking and modeling the behavior of ants, honeybees and monkeys. He co-founded Lucena Research, an investment software firm that applies Machine Learning and Big Data approaches to investment problems. Balch has published 120 conference and journal articles. His work has been covered by CNN, New Scientist, Institutional Investor, and the New York Times. His graduated students work at NASA/JPL, Boston Dynamics, Goldman Sachs, Morgan Stanley, Citadel, AQR, and BlackRock. Linkedin: https://www.linkedin.com/in/tuckerbalch/. Google Scholar: https://scholar.google.com/citations?user=jM1cT4QAAAAJ
- Edith Elkind: Dr. Elkind’s research concerns Algorithmic game theory, and computational social choice. She joined the Oxford Computer Science Department in 2013. Prior to coming to Oxford she was an Assistant Professor at Nanyang Technological University (Singapore), where her research was supported by the National Research foundation (NRF) Fellowship. Dr. Elkind obtained her PhD from Princeton University in 2005, and was a postdoctoral research fellow at the University of Warwick, University of Liverpool and Hebrew University of Jerusalem, as well as a lecturer (Roberts Fellow) at University of Southampton. Website: https://www.cs.ox.ac.uk/people/edith.elkind/. Google Scholar: https://scholar.google.com/citations?user=MsGRzsoAAAAJ
- Senthil Kumar: Dr, Kumar is a Director of Data Science at Capital One where he applies Machine Learning and AI to various business problems. Prior to joining Capital One, he was at Bell Labs where he developed and managed several successful products that have been licensed around the world. He has published over 30 papers and holds 6 patents. Most recently, he co-organized the 2018 NeurIPS workshop on Challenges and Opportunities for AI in Finance, and the 2017 KDD Workshop on Anomaly Detection in Finance. LinkedIn: https://www.linkedin.com/in/senthil-kumar-24b0419. Google Scholar: https://scholar.google.com/citations?user=_zW_doEAAAAJ
- Prashant Reddy: Dr. Reddy is a Research Director and Head of Technology at JPMorgan AI Research. Previously, Prashant was Senior Machine Learning Manager at Google, leading ML/AI teams working on Nest, Android/IoT and Google Assistant. Through his PhD work in the Machine Learning department at Carnegie Mellon and his industry experience at startups and at Google, Prashant has been researching and developing systems at the intersection of multi-agent learning, behavioral game theory, and robotics. Earlier, Prashant was CEO of Lumator, a startup focused on multi-agent learning in energy markets. He also developed key infrastructure and applications for algorithmic trading at Morgan Stanley. He has published conference and journal papers on multi-agent learning and agent-based simulation at IJCAI, AAAI, IROS and in Energy Economics. He holds a number of patents related to machine learning and multi-agent systems. LinkedIn: https://www.linkedin.com/in/prashantreddy/. Google Scholar: https://scholar.google.com/citations?user=jwQvlI0AAAAJ
- Ion Stoica: Dr. Stoica is a Professor in the EECS Department at University of California at Berkeley. He does research on cloud computing and networked computer systems. Past work includes Apache Spark, Apache Mesos, Tachyon, Chord DHT, and Dynamic Packet State (DPS). He is an ACM Fellow and has received numerous awards, including the SIGOPS Hall of Fame Award (2015), the SIGCOMM Test of Time Award (2011), and the ACM doctoral dissertation award (2001). In 2013, he co-founded Databricks a startup to commercialize technologies for Big Data processing, and in 2006 he co-founded Conviva, a startup to commercialize technologies for large scale video distribution. Website: https://people.eecs.berkeley.edu/~istoica/. Google Scholar: https://scholar.google.com/citations?user=vN-is70AAAAJ
- Michael Wellman: Dr. Wellman is Lynn A. Conway Collegiate Professor of Computer Science & Engineering at the University of Michigan. He received a PhD from the Massachusetts Institute of Technology in 1988 for his work in qualitative probabilistic reasoning and decision-theoretic planning. From 1988 to 1992, Wellman conducted research in these areas at the USAF’s Wright Laboratory. At Michigan, his research has focused on computational market mechanisms and game-theoretic reasoning methods, with applications in electronic commerce, finance, and cyber-security. As Chief Market Technologist for TradingDynamics, Inc., he designed configurable auction technology for dynamic business-to-business commerce. Wellman previously served as Chair of the ACM Special Interest Group on Electronic Commerce (SIGecom), and as Executive Editor of the Journal of Artificial Intelligence Research. He is a Fellow of the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery, and serves on advisory committees for the US Treasury Office of Financial Research (OFR) and Financial Industry Regulatory Authority (FINRA). Website: http://strategicreasoning.org/michael-p-wellman/. Google Scholar: https://scholar.google.com/citations?user=UruIct4AAAAJ